Risultati della ricerca - decoding (algorithm OR (algorithmics OR Algorithmsicsics))

  1. 681

    Joint Discrete Precoding and RIS Optimization for RIS-Assisted MU-MIMO Communication Systems di Ramezani, Parisa, Khorsandmanesh, Yasaman, Björnson, Emil

    Pubblicazione 2024
    Sommario: “... vectors via an efficient algorithm inspired by sphere decoding (SD). For optimizing the discrete RIS...”
    Testo
    Preprint
  2. 682

    Retrieval with Learned Similarities di Ding, Bailu, Zhai, Jiaqi

    Pubblicazione 2024
    Sommario: “... (MIPS) algorithms for efficient retrieval. However, state-of-the-art retrieval algorithms have migrated...”
    Testo
    Preprint
  3. 683

    On Anti-collusion Codes for Averaging Attack in Multimedia Fingerprinting di Jiang, Jing, Wen, Cailin, Cheng, Minquan

    Pubblicazione 2025
    Sommario: “...), binary strongly-separable codes (SSCs) and binary secure code with list decoding (SCLDs). Then codes...”
    Testo
    Preprint
  4. 684

    Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning di Deng, Wenlong, Ren, Yi, Li, Yushu, Gong, Boying, Sutherland, Danica J., Li, Xiaoxiao, Thrampoulidis, Christos

    Pubblicazione 2025
    Sommario: “... with positive THR value and weakening negative ones, our algorithm improves greedy-decoding accuracy, favoring...”
    Testo
    Preprint
  5. 685
  6. 686

    A Modified Q-Learning Algorithm for Rate-Profiling of Polarization Adjusted Convolutional (PAC) Codes di Mishra, Samir Kumar, Katyal, Digvijay, Ganapathi, Sarvesha Anegundi

    Pubblicazione 2021
    Sommario: “...In this paper, we propose a reinforcement learning based algorithm for rate-profile construction...”
    Testo
    Preprint
  7. 687

    A Low Latency Adaptive Coding Spiking Framework for Deep Reinforcement Learning di Qin, Lang, Yan, Rui, Tang, Huajin

    Pubblicazione 2022
    Sommario: “.... In this paper, we use learnable matrix multiplication to encode and decode spikes, improving the flexibility...”
    Testo
    Preprint
  8. 688

    TD-MPC2: Scalable, Robust World Models for Continuous Control di Hansen, Nicklas, Su, Hao, Wang, Xiaolong

    Pubblicazione 2023
    Sommario: “...TD-MPC is a model-based reinforcement learning (RL) algorithm that performs local trajectory...”
    Testo
    Preprint
  9. 689

    Tackling Electrode Shift In Gesture Recognition with HD-EMG Electrode Subsets di Pereira, Joao, Chalatsis, Dimitrios, Hodossy, Balint, Farina, Dario

    Pubblicazione 2024
    Sommario: “...sEMG pattern recognition algorithms have been explored extensively in decoding movement intent, yet...”
    Testo
    Preprint
  10. 690

    STAT: Shrinking Transformers After Training di Flynn, Megan, Wang, Alexander, Alvarez, Dean Edward, De Sa, Christopher, Damle, Anil

    Pubblicazione 2024
    Sommario: “...We present STAT: a simple algorithm to prune transformer models without any fine-tuning. STAT...”
    Testo
    Preprint
  11. 691

    Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge di Wodzinski, Marek, Müller, Henning

    Pubblicazione 2024
    Sommario: “... to performing biochemical labeling which is time-consuming and costly. Therefore, an automatic algorithm...”
    Testo
    Preprint
  12. 692

    Enhancing K-user Interference Alignment for Discrete Constellations via Learning di Mishra, Rajesh, Jafar, Syed, Vishwanath, Sriram, Kim, Hyeji

    Pubblicazione 2024
    Sommario: “... a novel deep learning-based approach to design the encoder and decoder functions that aim...”
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    Preprint
  13. 693

    Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems di Zhang, Zhuohui, He, Bin, Cheng, Bin, Li, Gang

    Pubblicazione 2024
    Sommario: “... reinforcement learning (MARL) algorithm. TGCNet learns the topological structure of a dynamic directed graph...”
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    Preprint
  14. 694

    Adversarial Attacks Against Double RIS-Assisted MIMO Systems-based Autoencoder in Finite-Scattering Environments di Son, Bui Duc, Khanh, Ngo Nam, Van Chien, Trinh, Kim, Dong In

    Pubblicazione 2024
    Sommario: “... autoencoder, where an adversary employs encoded and decoded datasets to create adversarial perturbation...”
    Testo
    Preprint
  15. 695

    Quantum Recurrent Neural Networks with Encoder-Decoder for Time-Dependent Partial Differential Equations di Chen, Yuan, Khaliq, Abdul, Furati, Khaled M.

    Pubblicazione 2025
    Sommario: “...-decoder framework, integrating Variational Quantum Circuits into Gated Recurrent Units and Long Short-Term...”
    Testo
    Preprint
  16. 696

    SLOs-Serve: Optimized Serving of Multi-SLO LLMs di Chen, Siyuan, Jia, Zhipeng, Khan, Samira, Krishnamurthy, Arvind, Gibbons, Phillip B.

    Pubblicazione 2025
    Sommario: “... decoding. Leveraging this resource planning algorithm, SLOs-Serve effectively supports multi-SLOs and multi...”
    Testo
    Preprint
  17. 697

    Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding di Conzelmann, Alexander, Bamler, Robert

    Pubblicazione 2025
    Sommario: “..., such as embedded sensors. Compression algorithms that reduce their size can mitigate these problems, provided...”
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    Preprint
  18. 698

    Unsupervised Learning for the Elementary Shortest Path Problem di Chen, Jingyi, Zhang, Xinyuan, Qian, Xinwu

    Pubblicazione 2025
    Sommario: “... negative-cost cycles and embedding the desired algorithmic alignment. At inference time, a decoding...”
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    Preprint
  19. 699

    Unleashing the power of computational insights in revealing the complexity of biological systems in the new era of spatial multi-omics di Fan, Zhiwei, Wang, Tiangang, Huang, Kexin, Ying, Binwu, Zhou, Xiaobo

    Pubblicazione 2025
    Sommario: “... advanced machine learning algorithms and multi-omics integrative modeling can decode complex biological...”
    Testo
    Preprint
  20. 700

    Supervised Learning as Lossy Compression: Characterizing Generalization and Sample Complexity via Finite Blocklength Analysis di Sugiyama, Kosuke, Uchida, Masato

    Pubblicazione 2026
    Sommario: “..., and the model construction to a decoding process. By leveraging finite blocklength analysis, we derive lower...”
    Testo
    Preprint